Part 0. Introduction
Five modules:
Required to have some recent exposure to probability and R.
Useful (not required) to have exposure to
If you have don’t have much exposure to \(X\), you may have to work harder on \(X\).
If you have lots of exposure to all of the above, we believe you can still learn something.
R or CrossValidated (https://stats.stackexchange.com/) if it’s about stats.Please also answer questions on our private StackOverflow.
If you email me a question, I am likely to tell you to put it on our StackOverflow.
Taught by John, Fridays, two sessions
All slides and assignments will be distributed via the course Github:
https://github.com/UChicago-pol-methods/IntroQSS-F24
Download files one by one, or git clone and frequently update.
Homework submission via Canvas page.
By lab on Friday (ideally sooner), make sure you do this:
R from https://cran.rstudio.com/tidyverse and tinytexIf you can “knit” the first homework (ps1_2023_probability.qmd) into a PDF, you are all set.
Most social scientists “know” a few things about
That’s it.
You need to know the correct parts above! (e.g. reading regression table, interpreting interaction terms)
But also, we want you